LeadCognition Glossary

Definitions for the core terms in GitHub signal intelligence, developer-led sales, and technical recruiting. Each entry is a 600–900 word deep dive with mechanics, concrete examples, related tools, and an FAQ.

8 entries · sorted A–Z · last updated 2026-04-19. Looking for site-wide Q/A instead? See the 36-answer FAQ.

• Developer Signal Score

  A Developer Signal Score ranks engineers by how actively they evaluate a technology on GitHub — weighted by recency, event type, and relevance.

• Developer-Led Sales

  Developer-led sales is a B2B motion where individual engineers self-serve a product, then expansion and enterprise sales follow their usage data.

• GitHub Activity Tracking

  GitHub activity tracking is the continuous monitoring of public GitHub events — stars, forks, PRs, issues, commits — for sales, recruiting, or research use.

• Open-Source Intelligence for Sales

  Open-source intelligence for sales applies OSINT methods to B2B — monitoring public GitHub, docs, and community channels to surface live buying intent.

• Repo Intent Score

  Repo Intent Score ranks GitHub repositories by aggregate developer evaluation intent — pull requests, issues, forks, and commits from real engineers.

• Sales Intelligence Platform

  A sales intelligence platform aggregates contact, firmographic, and intent data to help B2B sales teams prioritize accounts and reach the right buyers.

• Signal Strength Score

  Signal Strength Score rates the quality of an individual GitHub event — balancing volume, recency, event type, and topic fit into one comparable number.

• Technical Recruiting Signals

  Technical recruiting signals are observable developer activities — GitHub contributions, conference talks, OSS maintenance — used to identify qualified engineering candidates.